How to Install and Uninstall python3-shapely.x86_64 Package on CentOS Stream 9
Last updated: October 06,2024
1. Install "python3-shapely.x86_64" package
This is a short guide on how to install python3-shapely.x86_64 on CentOS Stream 9
$
sudo dnf update
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$
sudo dnf install
python3-shapely.x86_64
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2. Uninstall "python3-shapely.x86_64" package
Please follow the step by step instructions below to uninstall python3-shapely.x86_64 on CentOS Stream 9:
$
sudo dnf remove
python3-shapely.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-shapely.x86_64 package on CentOS Stream 9
Last metadata expiration check: 0:16:36 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : python3-shapely
Version : 1.8.2
Release : 8.el9
Architecture : x86_64
Size : 259 k
Source : python-shapely-1.8.2-8.el9.src.rpm
Repository : epel
Summary : Manipulation and analysis of geometric objects in the Cartesian plane
URL : https://github.com/shapely/shapely
License : BSD-3-Clause
Description : Shapely is a package for creation, manipulation, and analysis of planar
: geometry objects – designed especially for developers of cutting edge
: geographic information systems. In a nutshell: Shapely lets you do PostGIS-ish
: stuff outside the context of a database using idiomatic Python.
:
: You can use this package with python-matplotlib and numpy. See README.rst for
: more information!
Available Packages
Name : python3-shapely
Version : 1.8.2
Release : 8.el9
Architecture : x86_64
Size : 259 k
Source : python-shapely-1.8.2-8.el9.src.rpm
Repository : epel
Summary : Manipulation and analysis of geometric objects in the Cartesian plane
URL : https://github.com/shapely/shapely
License : BSD-3-Clause
Description : Shapely is a package for creation, manipulation, and analysis of planar
: geometry objects – designed especially for developers of cutting edge
: geographic information systems. In a nutshell: Shapely lets you do PostGIS-ish
: stuff outside the context of a database using idiomatic Python.
:
: You can use this package with python-matplotlib and numpy. See README.rst for
: more information!